Ashwini Patil
Ashwini Patil
Institute of Medical Science, University of Tokyo
Verified email at
TitleCited byYear
Disordered domains and high surface charge confer hubs with the ability to interact with multiple proteins in interaction networks
A Patil, H Nakamura
FEBS letters 580 (8), 2041-2045, 2006
Filtering high-throughput protein-protein interaction data using a combination of genomic features
A Patil, H Nakamura
BMC bioinformatics 6 (1), 100, 2005
Hub promiscuity in protein-protein interaction networks
A Patil, K Kinoshita, H Nakamura
International journal of molecular sciences 11 (4), 1930-1943, 2010
HitPredict: a database of quality assessed protein–protein interactions in nine species
A Patil, K Nakai, H Nakamura
Nucleic acids research 39 (suppl 1), D744-D749, 2011
Computerized polymorphic marker identification: experimental validation and a predicted human polymorphism catalog
JW Fondon, GM Mele, RI Brezinschek, D Cummings, A Pande, J Wren, ...
Proceedings of the National Academy of Sciences 95 (13), 7514-7519, 1998
Domain distribution and intrinsic disorder in hubs in the human protein–protein interaction network
A Patil, K Kinoshita, H Nakamura
Protein Science 19 (8), 1461-1468, 2010
Methods for protein complex prediction and their contributions towards understanding the organization, function and dynamics of complexes
S Srihari, CH Yong, A Patil, L Wong
FEBS Letters, 2015
Chemical composition is maintained in poorly conserved intrinsically disordered regions and suggests a means for their classification
HA Moesa, S Wakabayashi, K Nakai, A Patil
Mol. BioSyst. 8 (12), 3262-3273, 2012
Sequence-and species-dependence of proteasomal processivity
DA Kraut, E Israeli, EK Schrader, A Patil, K Nakai, D Nanavati, T Inobe, ...
ACS chemical biology 7 (8), 1444-1453, 2012
HitPredict version 4: comprehensive reliability scoring of physical protein–protein interactions from more than 100 species
Y López, K Nakai, A Patil
Database 2015, bav117, 2015
Linking transcriptional changes over time in stimulated dendritic cells to identify gene networks activated during the innate immune response
A Patil, Y Kumagai, K Liang, Y Suzuki, K Nakai
PLoS Comput Biol 9 (11), e1003323, 2013
Use of transcriptional synergy to augment sensitivity of a splicing reporter assay
N Levinson, R Hinman, A Patil, CRJ Stephenson, S Werner, GHC Woo, ...
RNA 12 (5), 925-930, 2006
Evaluation of Sequence Features from Intrinsically Disordered Regions for the Estimation of Protein Function
A Sharma, A Dehzangi, J Lyons, S Imoto, S Miyano, K Nakai, A Patil
PloS one 9 (2), e89890, 2014
HINT-a database of annotated protein-protein interactions and their homologs
A Patil, H Nakamura
Biophysics 1, 21-24, 2005
Organism-Level Analysis of Vaccination Reveals Networks of Protection across Tissues
M Kadoki, A Patil, CC Thaiss, DJ Brooks, S Pandey, D Deep, D Alvarez, ...
Cell, 2017
Assessing the utility of gene co-expression stability in combination with correlation in the analysis of protein-protein interaction networks
A Patil, K Nakai, K Kinoshita
BMC genomics 12 (Suppl 3), S19, 2011
OPAL: Prediction of MoRF regions in intrinsically disordered protein sequences
R Sharma, G Raicar, T Tsunoda, A Patil, A Sharma
Bioinformatics, 2018
Intrinsically disordered domains deviate significantly from random sequences in mammalian proteins
S Teraguchi, A Patil, DM Standley
BMC bioinformatics 11 (Suppl 7), S7, 2010
MoRFPred-plus: Computational Identification of MoRFs in Protein Sequences using Physicochemical Properties and HMM profiles
R Sharma, M Bayarjargal, T Tsunoda, A Patil, A Sharma
Journal of Theoretical Biology, 2017
Identification of novel motif patterns to decipher the promoter architecture of co-expressed genes in Arabidopsis thaliana
Y López, A Patil, K Nakai
BMC systems biology 7 (Suppl 3), S10, 2013
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